Results 161 to 170 of about 154,891 (246)

A Soft Microrobot for Single‐Cell Transport, Spheroid Assembly, and Dual‐Mode Drug Screening

Advanced Materials, EarlyView.
A soft, untethered hydrogel microrobot enables precise single‐cell delivery, self‐assembly into 3D spheroids, and real‐time thermal actuation. Driven by light‐induced convection and embedded with gold nanorods and temperature sensors, the microrobot guides cells, modulates local microenvironments, and supports drug testing.
Philipp Harder, Nergishan İyisan, Yukun Wang, Berna Özkale   +3 more
wiley   +1 more source

DrugBank mining with machine learning reveals novel candidates for BCL-2 inhibition. [PDF]

Sci Rep
Park J, Cho S, Lee H, Choi YR, Choi DH, Jeong MY, Lim YS, Hwang SB, Choi J.   +8 more
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Sustainable design of organic solar cells utilized machine and deep learning. [PDF]

Sci Rep
Mohyeldien OM, El-Amary NH, Al Bardawil A.   +2 more
europepmc   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Interpretable machine learning rationalizes carbonic anhydrase inhibition via conformal and counterfactual prediction. [PDF]

Sci Rep
Ghamsary MS, Rayka M, Naghavi SS.
europepmc   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

Potential mechanisms of Si-Wu-Tang against esophageal squamous cell carcinoma: A machine learning pharmacological study. [PDF]

Medicine (Baltimore)
Li X, Zhang C, Li J, Yuan J, Xing T, Yang H, Shi H.   +6 more
europepmc   +1 more source

Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection

Advanced Materials, EarlyView.
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel, Haotian Lu, Jiayan Zhang, Desheng Yao, Ananya Bhardwaj, Ramiro Contreras, Karim Sabra, Xiaoyu (Rayne) Zheng   +7 more
wiley   +1 more source

Detection for New Biomarkers of Tuberculosis Infection Activity Using Machine Learning Methods. [PDF]

Diseases
Starshinova AA, Sabirova A, Koroteeva O, Kudryavtsev I, Rubinstein A, Aquino A, Trulioff AS, Belyaeva E, Kulpina A, Sharipov RA, Tukfatullin RK, Nikolenko NY, Mikhalev A, Savchenko AA, Borisov A, Kudlay D.   +15 more
europepmc   +1 more source